A transparent estimate, not a magic number
For cloud AI, the recommendation accounts for the browser, documents, and simultaneous applications. For local models, we estimate weights using parameters × bits ÷ 8, add about 15% model overhead, and reserve memory for the operating system.
Very long contexts, multiple loaded models, and extra tools can raise usage. The recommended result is therefore rounded to memory capacities commonly sold in computers and upgrade kits.

